PhD Student in Computer Science & Digital Health

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Job Type / Workload
Academic: PhD Position 100%
Workload
0 weekly jours
Industry
Education / Culture
Functional Area
Information Technology
Applied Medicin, Psychology & Health
Salary
CHF 0 /
Entry date
April 8, 2020
as agreed upon
Region
Switzerland - Western Part & Valais
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Description of the scientific environment

PhD topic relate to research on Quality of Life assessment and improvement for healthy populations while leveraging current lab expertise in mobile communication and computing technologies.

Project description

The thesis will focus on research on Quality of Life assessment and improvement for healthy populations - while leveraging current lab expertise in mobile communication and computing technologies. More specifically the thesis focus is on researching Risk Assessment Toolbox – a set of decision support algorithms and computational models that leverage personalized, longitudinal datasets about the individual’s lifestyle and, in context of the current evidence in medicine, are able to provide a likelihood of the user being diagnosed with a chronic disease in the future. Factors for risk assessment are going to be extracted after applying advanced statistical analysis and iterative development of data mining and machine learning-based algorithms to previously labelled electronic health records (EHR) of ageing people in Denmark, Spain and Switzerland. Additional datasets will be collected along the project duration. Personalized wearable technologies and smartphone applications will be modelled as a basis for the user’s “lifestyle sensor”. The thesis research will employ user-centric design methods and rely on inter-disciplinary collaboration (i.e., different experts within the project and different user groups), as well as it will leverage mixed-methods (quantitative-qualitative) approaches.  

Principal supervisor is Professor Katarzyna Wac

Job description

The position is available for a 4-year period and your key tasks as a PhD student are:

  • To manage and carry through your research project
  • Attend relevant PhD courses
  • Write scientific articles and your PhD thesis
  • Teach and disseminate your research
  • To stay at an external research institution for a few months, preferably abroad (e.g., at University of Copenhagen or at Stanford)
  • Work for the Center for Informatics (CUI) of University of Geneva

Formal requirements
Applicants should hold an MSc degree in bioinformatics, computer science or related fields with good results and good English skills. As criteria for the assessment of your qualifications emphasis will also be laid on previous publications (if any) and relevant work experience. 

At this time only applications from EU students can be considered. 

Application Procedure

The application, in English, must be submitted electronically to Prof. Wac.

Please include

  • CV
  • Diploma and transcripts of records (BSc and MSc)
  • Acceptance Letter for the relevant MSc Programme, if any
  • Other information for consideration, e.g. list of publications (if any),
  • Full contact details (name, address, & email) of 1-3 academic referees

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

The main criterion for selection will be the research potential of the applicant and the above mentioned skills. The successful candidate will then be requested to formally apply for enrolment as a PhD student at University of Geneva.

Questions

For specific information about the PhD position, please contact the principal supervisor Professor Katarzyna Wac (katarzyna.wac@unige.ch)


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PhD Student in Computer Science & Digital Health
business University of Geneva, QoL Lab
location_on Switzerland - Western Part & Valais
10.05.2020
: null
Education / Culture
Information Technology
100% 0 weekly jours
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